{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "f6897843-08e3-4337-98c9-3d7f16179e69",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: pandas in d:\\anaconda\\lib\\site-packages (2.2.3)\n",
      "Requirement already satisfied: seaborn in d:\\anaconda\\lib\\site-packages (0.13.2)\n",
      "Requirement already satisfied: numpy>=1.26.0 in d:\\anaconda\\lib\\site-packages (from pandas) (2.1.3)\n",
      "Requirement already satisfied: python-dateutil>=2.8.2 in d:\\anaconda\\lib\\site-packages (from pandas) (2.9.0.post0)\n",
      "Requirement already satisfied: pytz>=2020.1 in d:\\anaconda\\lib\\site-packages (from pandas) (2024.1)\n",
      "Requirement already satisfied: tzdata>=2022.7 in d:\\anaconda\\lib\\site-packages (from pandas) (2025.2)\n",
      "Requirement already satisfied: matplotlib!=3.6.1,>=3.4 in d:\\anaconda\\lib\\site-packages (from seaborn) (3.10.0)\n",
      "Requirement already satisfied: contourpy>=1.0.1 in d:\\anaconda\\lib\\site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (1.3.1)\n",
      "Requirement already satisfied: cycler>=0.10 in d:\\anaconda\\lib\\site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (0.11.0)\n",
      "Requirement already satisfied: fonttools>=4.22.0 in d:\\anaconda\\lib\\site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (4.55.3)\n",
      "Requirement already satisfied: kiwisolver>=1.3.1 in d:\\anaconda\\lib\\site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (1.4.8)\n",
      "Requirement already satisfied: packaging>=20.0 in d:\\anaconda\\lib\\site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (24.2)\n",
      "Requirement already satisfied: pillow>=8 in d:\\anaconda\\lib\\site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (11.1.0)\n",
      "Requirement already satisfied: pyparsing>=2.3.1 in d:\\anaconda\\lib\\site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (3.2.0)\n",
      "Requirement already satisfied: six>=1.5 in d:\\anaconda\\lib\\site-packages (from python-dateutil>=2.8.2->pandas) (1.17.0)\n",
      "截距：1007.94,斜率:-8.15\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "!pip install pandas seaborn \n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from sklearn.linear_model import LinearRegression\n",
    "file_path =\"C:\\\\Users\\YanTao\\Desktop\\开源第二次作业\\master\\python实践\\线性回归\\data\\pricing_data.csv\"\n",
    "uploaded_data=pd.read_csv(file_path,encoding='gbk')\n",
    "uploaded_data.head\n",
    "X=uploaded_data[['Price']]\n",
    "y=uploaded_data['Sales']\n",
    "model=LinearRegression()\n",
    "model.fit(X,y)\n",
    "intercept=model.intercept_\n",
    "slope=model.coef_[0]\n",
    "print(f'截距：{intercept:.2f},斜率:{slope:.2f}')\n",
    "plt.figure(figsize=(8,6))\n",
    "sns.regplot(\n",
    "    x='Price',\n",
    "    y='Sales',\n",
    "    data=uploaded_data,\n",
    "    ci=None,\n",
    "    line_kws={\"color\":\"red\",\"label\":f\"y={intercept:.2f}+{slope:.2f}x\"}\n",
    ")\n",
    "plt.title('Pricing and volume forecasting',fontsize=16)\n",
    "plt.xlabel('Price',fontsize=12)\n",
    "plt.ylabel('Sales',fontsize=12)\n",
    "plt.legend()\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "52dd2af8-1e3e-4728-a78f-4e5a58578546",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.13.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
